Barry Warsaw’s Post

I’m happy to share that I’ve obtained a new certification: Fundamentals of Accelerated Computing with CUDA Python from NVIDIA! I would like to thank Sir Muhammad Saeed for letting me have this opportunity, and for mentoring us throughout. #CUDA #NVIDIA #AcceleratedComputing #GPU #ParallelProgramming #opportunity

Absolutely thrilled to announce the completion of the "Fundamentals of Accelerated Computing with CUDA Python" course, a transformative journey into the realm of high-performance computing! 🚀🐍 Throughout the course, I immersed myself in the intricacies of CUDA Python, unraveling the potential of GPU parallelism for accelerated computations. From diving into the architecture of NVIDIA GPUs to mastering parallel algorithms, the program provided a robust foundation in leveraging the power of CUDA😄. The hands-on exercises and real-world applications not only honed my coding skills but also instilled confidence in optimizing performance for computationally demanding tasks. As I embark on applying CUDA Python to my projects, I am excited about the prospect of enhancing efficiency and tackling complex challenges in a more streamlined manner. This course marks a significant milestone in my professional journey, and I look forward to pushing the boundaries of accelerated computing with newfound expertise. Here's to the exciting fusion of Python and GPU programming! 💻🔥 #CUDA #Python #AcceleratedComputing #ProfessionalDevelopment #GPUProgrammingJourney #nvidia Special Thanks to NVIDIA

Excited to share that I've achieved the " Fundamentals of Accelerated Computing with CUDA Python " certification from NVIDIA! This accomplishment showcases my skills in optimizing CUDA kernels, leveraging shared memory for efficient communication between threads, addressing memory access challenges, and implementing fine-grained parallelism for optimal performance. Grateful for the journey and the skills gained! 💻✨ 🚀 #NVIDIA #CUDA #GPUAcceleration #Certification #ParallelProgramming #DataScience #Computing"

🎓 Thrilled to announce that I've earned my Certificate in Accelerated Computing with CUDA Python! 🌟 CUDA, developed by NVIDIA, offers a powerful platform for parallel computing, unleashing the full potential of GPUs. This certification holds immense importance in my career as an AI student, providing me with the expertise to harness the power of accelerated computing. 💻 #CUDA #AIEngineer #AcceleratedComputing

Announcing TensorRT-LLM GA: https://lnkd.in/ger-fBgF TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs.

🌟 Thrilled to announce that I've earned the Fundamentals of Accelerated Computing with CUDA Python certification from NVIDIA! 💻 This program equipped me with the skills to unleash the power of NVIDIA GPUs, CUDA Programming Foundations, Parallelize Computations, and significantly boost the performance of Python programs for computationally intensive tasks. Special thanks to Ghassen EL ABED and Ghassen Khaled Khaled for their invaluable guidance and mentorship as well ATIA Club ESB for organizing these insightful workshops and providing me with the opportunity to enhance my skills. 🚀 Ready to leverage these newfound abilities to drive innovation and tackle complex computational challenges. Here's to the exciting journey ahead!   #NVIDIA #CUDA #CUDApython #DeepLearning #AcceleratedComputing

I'm thrilled to share that I have successfully completed the Fundamentals of Accelerated Computing with CUDA Python course! 🎓🔥 This incredible learning journey has expanded my knowledge and skills in leveraging the power of CUDA Python for accelerated computing. Throughout the course, I delved deep into the world of parallel programming and GPU computing. I gained a solid understanding of CUDA programming concepts, optimizing algorithms, and harnessing the immense computational capabilities of NVIDIA GPUs. The hands-on exercises and real-world examples allowed me to apply these principles in practice and witness the transformative impact of GPU acceleration. The course equipped me with the expertise to leverage CUDA Python for various applications, such as scientific simulations, data analytics, machine learning, and more. I am now equipped with the tools to unlock the full potential of GPU acceleration and tackle computationally intensive tasks with remarkable speed and efficiency. #AcceleratedComputing #CUDA #Python #GPU #ParallelProgramming #DataAnalytics #MachineLearning #ComputationalEfficiency

💡🚀Excited to share that I've successfully completed a workshop on accelerating AI workloads using Nvidia's GPU technology! The CUDA compute platform offers extraordinary application acceleration, enabling parallel processing on NVIDIA GPUs. With Numba, a Python function compiler, I've unlocked the potential for GPU acceleration without the need for C/C++ coding, especially for those intensive NumPy array operations. The workshop equipped learners with the essential skills to GPU-accelerate Python applications. Completing this workshop, including the 3 labs, has expanded my skill set and deepened my expertise in AI and GPU technology. I'm eager to apply these skills to create more efficient and high-performing AI solutions. #AI #GPU #Nvidia #DeepLearning #MachineLearning #python

I’m happy to share that I’ve obtained a new certification: NVIDIA DLI Certificate – Fundamentals of Accelerated Computing with CUDA Python from NVIDIA Deep Learning Institute! Today, I had the incredible opportunity to participate in the Fundamentals of Accelerated Computing with CUDA Python workshop. The workshop, skillfully delivered by Manal Jalloul and Srinivasan Ramasamy, explored the world of accelerating Python programs on massively parallel NVIDIA GPUs using Numba—the just-in-time, type-specializing Python function compiler. 🔍 During the workshop, I learned how to: * Utilize Numba to compile CUDA kernels from NumPy universal functions (ufuncs). *Create and launch custom CUDA kernels using Numba. *Implement key GPU memory management techniques. 🚀 The knowledge gained has equipped me to use Numba effectively, enabling me to compile and launch CUDA kernels, thereby accelerating Python applications on NVIDIA GPUs. 🙌 Grateful for the invaluable insights gained and excited to apply these skills to enhance my work in the field. A big shoutout to Manal Jalloul, Ph.D and Srinivasan Ramasamy for their exceptional guidance! #AcceleratedComputing #CUDA #Python #Numba #Certification #ProfessionalDevelopment #TechSkills #LearningJourney #nvidia #deeplearning #lookingfornewopportunities